Hybrid Product Intelligence Data Scientist

AVEVA; Cambridgeshire and Peterborough; Hybrid; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Flexible benefits fund

Emergency leave days

Adoption leave

28 days annual leave

Pension

Life cover

Private medical insurance

Parental leave

Education assistance program

Job summary

AVEVA seeks a Product Intelligence Data Scientist to build a unified intelligence layer translating raw usage signals into actionable business insights across acquisition, activation, adoption, expansion and renewal.

You will own analytical models connecting product behavior to business outcomes, partnering with Product to validate hypotheses and drive prioritization with experimentation and data-driven storytelling.

Qualifications

• 5+ years in data science or advanced analytics in a hybrid PLG/sales-led SaaS environment.
• Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster).
• Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation.

Responsibilities

• Partner with Product to define hypotheses around feature adoption and growth levers using experiments.
• Translate product signals into lifecycle intelligence that guides prioritization.
• Build and own predictive models quantifying adoption, churn risk, and expansion.
• Design segmentation and cohorts to reveal value and gaps.
• Develop analyses linking product interactions to revenue outcomes (NRR, LTV, expansion).
• Create automated scoring systems feeding GTM, CS, and in-product workflows.
• Build early-warning detection models for at-risk accounts.
• Communicate findings to senior leadership as actionable narratives.

Skills

Python

SQL

Predictive modelling

Causal inference

Experimentation

Product telemetry

Survival analysis

Education

Degree in Statistics/CS/Math/Physics/Economics

Tools

dbt

Airflow

Dagster

Snowflake

Databricks

BigQuery

Azure Synapse

Amplitude

Mixpanel

Pendo

Job description

AVEVA seeks a Product Intelligence Data Scientist to build a unified intelligence layer translating raw usage signals into actionable business insights across acquisition, activation, adoption, expansion and renewal.

You will own analytical models connecting product behavior to business outcomes, partnering with Product to validate hypotheses and drive prioritization with experimentation and data-driven storytelling.